Umfang:
1 Online-Ressource (xviii, 299 Seiten).
ISBN:
978-1-118-59323-3
,
978-1-118-59337-0
,
1-118-59337-5
,
978-1-118-59336-3
,
1-118-59336-7
,
1-118-59323-5
,
978-1-322-00759-5
,
1-322-00759-4
,
978-1-118-42254-0
Anmerkung:
"This book emphasizes the collaborative analysis of data that is used to collect increments of time or space. Written at a readily accessible level, but with the necessary theory in mind, the author uses frequency- and time-domain and trigonometric regression as themes throughout the book. The content includes modern topics such as wavelets, Fourier series, and Akaike's Information Criterion (AIC), which is not typical of current-day "classics." Applications to a variety of scientific fields are showcased. Exercise sets are well crafted with the express intent of supporting pedagogy through recognition and repetition. R subroutines are employed as the software and graphics tool of choice. Brevity is a key component to the retention of the subject matter. The book presumes knowledge of linear algebra, probability, data analysis, and basic computer programming"--
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe, Hardcover ISBN 1-118-42254-6
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-1-118-42254-0
Sprache:
Englisch
Fachgebiete:
Informatik
Schlagwort(e):
Datenanalyse
;
R
;
Zeitreihenanalyse
;
R
DOI:
10.1002/9781118593233
URL:
Volltext
(URL des Erstveröffentlichers)
